Kochmar E. - Getting Started with Natural Language Processing [2022, PDF, ENG] torrent

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Getting Started with Natural Language Processing

Год издания: 2022
Автор: Kochmar E.

Издательство: Manning
ISBN: 9781617296765
Язык: Английский

Формат: PDF
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Количество страниц: 458

Описание: Hit the ground running with this in-depth introduction to the NLP skills and techniques that allow your computers to speak human.
InGetting Started with Natural Language Processing you’ll learn аbout:
- Fundamental concepts and algorithms of NLP
- Useful Python libraries for NLP
- Building a search algorithm
- Extracting information from raw text
- Predicting sentiment of an input text
- Author profiling
- Topic labeling
- Named entity recognition
Getting Started with Natural Language Processing is an enjoyable and understandable guide that helps you engineer your first NLP algorithms. Your tutor is Dr. Ekaterina Kochmar, lecturer at the University of Bath, who has helped thousands of students take their first steps with NLP. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put into practice right away. If you’re a beginner to NLP and want to upgrade your applications with functions and features like information extraction, user profiling, and automatic topic labeling, this is the book for you.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
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[spoiler="Оглавление"]
Introduction 1
2. Your first NLP example 31
3. Introduction to information search 71
4. Information extraction 114
5. Author profiling as a machine-learning task 151
6. Linguistic feature engineering for author profiling 194
7. Your first sentiment analyzer using sentiment lexicons 229
8. Sentiment analysis with a data-driven approach 263
9. Topic analysis 304
10. Topic modeling 346
11. Named-entity recognition 384
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